 ELECO 2023 Invited Talks |
Erdal KAYACAN Automatic Control Group (RAT) Institute of Electrical Engineering and Information Technology Paderborn University, Paderborn, Germany E-mail: erdal.kayacan@uni-paderborn.de Abstract – This talk will address uncertainties due to fast and agile flight applications. In particular, neuromorphic cameras will be discussed to deal with visual degradation such as motion blur or high dynamic range effect. Furthermore, due to the cost associated with data collection and training, transfer learning will also be mentioned to transfer knowledge between aerial robots and thereby increase the efficiency of their control. Not but not least, some state-of-the-art drone applications, e.g. autonomous drone racing, will also be elaborated. |
 Professor Erdal KAYACAN Biography - Erdal Kayacan graduated from Istanbul Technical University, Department of Electrical Engineering in 2003. He received his master's and PhD degrees in 2006 and 2011 from Bogazici University, Department of Electrical and Electronics Engineering, Istanbul, Turkey. After finishing his postdoctoral research with the University of Leuven (KU Leuven),
Leuven, Belgium, in 2014, he worked with the School of Mechanical and Aerospace Engineering,
Nanyang Technological University (NTU), Singapore, as an assistant professor for four years. He was an associate professor at Aarhus University at the Department of Engineering from 2018 to 2023. He is pursuing his career as a full professor at the Department of Electrical and Information Technology at Paderborn University, Germany.  His research areas are computational intelligence methods, sliding mode control, model predictive control, mechatronics and unmanned aerial vehicles. Dr. Kayacan has published more than 110 peer-reviewed book chapters, journal and conference articles on model-based and model-free control, parameter and state estimation, and related robotics applications. He has completed a series of research projects focused on the design and development of land and air robotic systems, image-based control techniques and artificial intelligence. Dr. Kayacan is a member of the Computational Intelligence Society and the Robotics and Automation Society in the Institute of Electrical and Electronics Engineers (IEEE). 
 He is the IEEE/ASME Transactions Mechatronics technical editor and the associate editor in IEEE Robotics and Automation Letters.   |
